Nano Energy, Journal Year: 2024, Volume and Issue: 133, P. 110466 - 110466
Published: Nov. 12, 2024
Language: Английский
Advanced Science, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 3, 2025
Sound signals not only serve as the primary communication medium but also find application in fields such medical diagnosis and fault detection. With public healthcare resources increasingly under pressure, challenges faced by disabled individuals on a daily basis, solutions that facilitate low-cost private hold considerable promise. Acoustic methods have been widely studied because of their lower technical complexity compared to other solutions, well high safety threshold human body acoustic energy. Furthermore, with recent development artificial intelligence technology applied speech recognition, recognition devices, systems capable assisting interacting scenes are constantly being updated. This review meticulously summarizes sensing mechanisms, materials, structural design, multidisciplinary applications wearable devices health human-computer interaction. Further, advantages disadvantages different approaches used flexible various examined. Finally, current roadmap for future research analyzed based existing progress achieve more comprehensive personalized healthcare.
Language: Английский
Citations
4
Nano Energy, Journal Year: 2024, Volume and Issue: 129, P. 109951 - 109951
Published: July 9, 2024
Language: Английский
Citations
13
Advanced Materials, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 15, 2024
Acoustic sensor-based human-machine interaction (HMI) plays a crucial role in natural and efficient communication intelligent robots. However, accurately identifying tracking omnidirectional sound sources, especially noisy environments still remains notable challenge. Here, self-powered triboelectric stereo acoustic sensor (SAS) with recognition capabilities by 3D structure configuration is presented. The SAS incorporates porous vibrating film high electron affinity low Young's modulus, resulting sensitivity (3172.9 mV
Language: Английский
Citations
10
Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(49)
Published: Aug. 27, 2024
Abstract Humans can grab and identify objects by capturing the features of physical shape, temperature, material. However, creating artificial sensors with finger‐like tactile capabilities is challenging due to contradiction between structural compliance multifunctional sensing. Here, a sensory system for robot hand that achieve object recognition reported. The sensor simple horizontal sensing structure respond strain, material, temperature stimuli using piezoresistive, triboelectric, thermoelectric effects. A machine learning algorithm train classify signals, enabling high accuracy 98.5% in recognizing five also developed. This work contributes development systems soft robotics.
Language: Английский
Citations
7
AIP Advances, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 1, 2025
Triboelectric technology, with its renewable, low-cost, and eco-friendly advantages, offers new possibilities for intelligent motion-sensing equipment sports monitoring. We propose a maple leaf-based triboelectric nanogenerator (ML-TENG) green mechanical energy harvesting detecting table tennis corner kicks. The ML-TENG operates in contact-separation mode achieves peak power output of 63.38 W/m3 at an optimal load 50 MΩ. experimental results show transfer charge (Qsc) 35 nC, short-circuit current (Isc) 9 μA, open-circuit voltage (Voc) V. Tested ping-pong paddle, the generates consistent even under high-frequency impacts, demonstrating sensitivity to both strong weak forces. This ready-to-use design requires minimal preparation, highlighting technology’s potential improving monitoring accuracy enabling real-time athletic performance analysis.
Language: Английский
Citations
0
Advanced Sensor Research, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 8, 2025
Abstract Advancements in live audio processing, specifically sound classification and captioning technologies, have widespread applications ranging from surveillance to accessibility services. However, traditional methods encounter scalability energy efficiency challenges. To overcome these, Triboelectric Nanogenerators (TENG) are explored for harvesting, particularly live‐streaming monitoring systems. This study introduces a sustainable methodology integrating TENG‐based sensors into pipelines, enhancing energy‐efficient by model selection fine‐tuning strategies. Our cost‐effective TENG sensor harvests ambient vibrations background noise, producing up 1.2 µ W cm −2 output power successfully charging capacitors. shows its capability harvesting. The system achieves 94.3% accuracy using the Hierarchical Token Semantic Audio Transformer (HTS‐AT) identified as optimal event monitoring. Additionally, continuous EnCodec Combining Neural Codec Audio‐Text Joint Embedding Automated Captioning (EnCLAP) showcases rapid precise processing capabilities that suitable environments. Bidirectional Encoder representation Transformers (BEATs) also demonstrated exceptional performance, achieving an of 97.25%. These models were fine‐tuned TENG‐recorded ESC‐50 dataset, ensuring system's adaptability diverse conditions. Overall, this research significantly contributes development systems with wide‐ranging implications across various sectors.
Language: Английский
Citations
0
Advanced Materials, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 23, 2025
Abstract The effective collection of interfacial tribo‐charges and an increase in load voltage are two essential factors that improve the output energy triboelectric nanogenerators. However, some hardly collected through one or multiple integrated side electrodes based on corona discharge, their voltages limited by air breakdown adjacent electrodes. In this study, a dynamic quasi‐dipole potential distribution model is proposed to systematically reveal mechanisms tribo‐charge loss. Based model, optimization route designed reduce charge loss stepwise, achieving 15‐fold improvement from tribo‐interface. A difference enhancement strategy used for first time threshold between inner under large load. By efficiency voltage, historical record density 5.03 J m −2 obtained. This study refined optimized provided advanced guidance efficiently extracting during triboelectrification process.
Language: Английский
Citations
0
Gels, Journal Year: 2025, Volume and Issue: 11(2), P. 133 - 133
Published: Feb. 13, 2025
This research study aims to explore the synergistic effects of incorporating polyvinylidene fluoride (PVDF) into polyvinyl alcohol (PVA) hydrogels enhance their suitability for triboelectric sensors applications. The preparation process employs a method freezing/thawing conducted in dimethyl sulfoxide (DMSO), followed by solvent replacement with water. approach effectively preserves PVDF its α phase, eliminating piezoelectric and enhancing hydrogels' mechanical properties. use DMSO contributes reduced pore size, while significantly improves three-dimensional network structure hydrogels, resulting enhanced thermal chemical resistance. Thorough characterization PVA/PVDF composite prepared varying ratios PVA (10:0, 8:2, 5:5), was using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), electrochemical impedance (EIS), rheology, thermogravimetric analysis (TGA). Notably, were tested pressure human voice sensors, demonstrating capability recognize different patterns associated various letters. incorporation signal-to-noise ratio PVA/PVDF-based compared those made solely from PVA, highlighting notable improvement detection. enhancements quantified as 56% "a", 35% "r", 47% "m".
Language: Английский
Citations
0
Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110779 - 110779
Published: Feb. 1, 2025
Language: Английский
Citations
0
Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110844 - 110844
Published: March 1, 2025
Language: Английский
Citations
0